2023
DOI: 10.1016/j.techfore.2023.122665
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The choice of structural equation modeling technique matters: A commentary on Dash and Paul (2021)

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Cited by 12 publications
(7 citation statements)
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“…The structural equation model employs three methods of model parameter estimation: CB-SEM, PLS-SEM, and PLSc [43]. Among these methods, CB-SEM is the most prevalent and effectively minimizes the difference between the sample variance-covariance matrix and the model's expected values to derive accurate parameter estimates [44], which have been employed in this study. The KMO and Barlett's test can test the adequacy of the correlation matrix relationship, thereby determining whether a validity analysis should be performed.…”
Section: Discussionmentioning
confidence: 99%
“…The structural equation model employs three methods of model parameter estimation: CB-SEM, PLS-SEM, and PLSc [43]. Among these methods, CB-SEM is the most prevalent and effectively minimizes the difference between the sample variance-covariance matrix and the model's expected values to derive accurate parameter estimates [44], which have been employed in this study. The KMO and Barlett's test can test the adequacy of the correlation matrix relationship, thereby determining whether a validity analysis should be performed.…”
Section: Discussionmentioning
confidence: 99%
“…106–108 PLS-SEM is based on ordinary least squares regression, which calculates both the variance and covariances of variables to estimate regression coefficients. 109 Researchers employ the approach to test hypotheses within a conceptually-grounded path model. 110…”
Section: Methodsmentioning
confidence: 99%
“…70 The differences between CB-SEM and PLS-SEM are extensively documented in the literature and remain contested. 109,113 113,114 As a result, the technique has gained increasing traction among social scientists for advancing exploratory research 95,113 across a wide range of domains, 64,104 such as smart energy technology adoption 115–117 and hydrogen acceptance. 118–120 In view of the need to advance theoretical understanding and empirical evidence 47,78 on domestic hydrogen adoption potential, 23,51 this study undertakes PLS-MGA using SmartPLS 4.1 software.…”
Section: Methodsmentioning
confidence: 99%
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“…If analysts interpret the PLS-SEM output as the coefficients of a reflective measurement model, they will end up with biased estimates that "may be wide of the mark" [16, p. 51]. As a result, analysts using PLS-SEM may find effects that do not exist [20,100], may not find effects that do exist [97,101], or may even find effects of the opposite sign [51,98].…”
Section: Introductionmentioning
confidence: 99%